Instructions to use ogaith/YOLOv8s-dog-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use ogaith/YOLOv8s-dog-detection with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("ogaith/YOLOv8s-dog-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Add YOLOv8 dog detector weights, README, inference example and assets
Browse files- .gitattributes +2 -0
- README.md +64 -0
- assets/runs/detect/val/val/BoxF1_curve.png +3 -0
- assets/runs/detect/val/val/BoxPR_curve.png +3 -0
- assets/runs/detect/val/val/BoxP_curve.png +3 -0
- assets/runs/detect/val/val/BoxR_curve.png +3 -0
- assets/runs/detect/val/val/confusion_matrix.png +3 -0
- assets/runs/detect/val/val/confusion_matrix_normalized.png +3 -0
- assets/runs/detect/val/val/val_batch0_labels.jpg +3 -0
- assets/runs/detect/val/val/val_batch0_pred.jpg +3 -0
- assets/runs/detect/val/val/val_batch1_labels.jpg +3 -0
- assets/runs/detect/val/val/val_batch1_pred.jpg +3 -0
- assets/runs/detect/val/val/val_batch2_labels.jpg +3 -0
- assets/runs/detect/val/val/val_batch2_pred.jpg +3 -0
- best.pt +3 -0
.gitattributes
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assets/* filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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base_model: Ultralytics/YOLOv8
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tags:
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- ultralytics
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- object-detection
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- yolo
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- yolov8
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- dog
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pipeline_tag: object-detection
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library_name: ultralytics
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---
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# 🐶 YOLOv8 Dog Detector
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This repository contains a finetuned **YOLOv8** model for **detecting dogs** in images.
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- **Model:** `best.pt`
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- **Dataset:** Google Open Images v7 (~4,000 dog instances)
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- **Task:** Object Detection (1 class: `dog`)
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---
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## 📦 Installation
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```bash
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pip install ultralytics
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```
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## 🚀 CLI Usage (recommended for quick testing)
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```bash
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yolo detect predict \
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model=best.pt \
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source="assets/runs/detect/val/example1.jpg" \
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imgsz=640 \
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conf=0.25 \
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save=True
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```
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Batch infer on folder
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```bash
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yolo detect predict model=best.pt source="images_folder/" imgsz=640 conf=0.25 save=True
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```
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## 🐍 Python Usage
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```bash
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from ultralytics import YOLO
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# Load model
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model = YOLO("best.pt")
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# Run prediction
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results = model.predict(
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source="assets/runs/detect/val/example1.jpg",
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conf=0.25,
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imgsz=640
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)
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# Display or save result
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results[0].show() # display
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# results[0].save() # save to file
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```
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assets/runs/detect/val/val/BoxF1_curve.png
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Git LFS Details
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assets/runs/detect/val/val/BoxPR_curve.png
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assets/runs/detect/val/val/BoxP_curve.png
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assets/runs/detect/val/val/BoxR_curve.png
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assets/runs/detect/val/val/confusion_matrix.png
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assets/runs/detect/val/val/confusion_matrix_normalized.png
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Git LFS Details
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assets/runs/detect/val/val/val_batch0_labels.jpg
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assets/runs/detect/val/val/val_batch0_pred.jpg
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assets/runs/detect/val/val/val_batch1_labels.jpg
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assets/runs/detect/val/val/val_batch1_pred.jpg
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Git LFS Details
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assets/runs/detect/val/val/val_batch2_labels.jpg
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Git LFS Details
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assets/runs/detect/val/val/val_batch2_pred.jpg
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Git LFS Details
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best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a3caf9f3e07a6f313ce9d394d47037ba9428f97e9ef61aa3e21936a0e85c395
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size 6230250
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